Raschka's final Reasoning From Scratch lecture covers distilling reasoning models
Overview
Sebastian Raschka posts the eighth and final lecture of his Reasoning From Scratch series on X, covering distillation as a more efficient alternative to reinforcement learning training runs.
The session covers soft versus hard distillation and on-policy versus off-policy approaches, and walks through training Qwen3-0.6B on DeepSeek R1 MATH reasoning traces with evaluation on MATH-500. Raschka says he plans a brief break after the series and will be back.
Written by AI from the articles below · updated Oct 17, 9:49 AM ET
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Sebastian Raschka@rasbtXRaschka's final Reasoning From Scratch lecture covers distilling reasoning modelsAISebastian Raschka's eighth and final Reasoning From Scratch lecture covers distillation as a more efficient alternative to reinforcement learning training runs. The session walks through soft versus hard distillation, on-policy versus off-policy approaches, and training Qwen3-0.6B on DeepSeek R1 MATH reasoning traces, with evaluation on MATH-500. He says he plans a brief break after the series.

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